/bert-base
This model was trained from scratch on the None dataset. It achieves the following results on the evaluation set:
- eval_loss: 0.0636
- eval_model_preparation_time: 0.0041
- eval_accuracy: 0.9831
- eval_runtime: 59.77
- eval_samples_per_second: 116.764
- eval_steps_per_second: 7.311
- step: 0
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 2e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 3
Framework versions
- Transformers 4.57.3
- Pytorch 2.9.0+cu126
- Datasets 4.0.0
- Tokenizers 0.22.2
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